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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2017.00188</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Spreading of Pandemic <italic>Vibrio parahaemolyticus</italic> O3:K6 and Its Serovariants: A Re-analysis of Strains Isolated from Multiple Studies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Han</surname> <given-names>Dongsheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/211253/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Fei</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/375769/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tang</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ren</surname> <given-names>Chuanli</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Caiyun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Pan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Han</surname> <given-names>Chongxu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Clinical Medical Examination Center, Northern Jiangsu People&#x00027;s Hospital</institution> <country>Yangzhou, China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, Department of Clinical Laboratory, First Affiliated Hospital, College of Medicine, Zhejiang University</institution> <country>Hangzhou, China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pathology and Pathophysiology, Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology</institution> <country>Wuhan, China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Dongsheng Zhou, Beijing Institute of Microbiology and Epidemiology, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Xiaohui Zhou, University of Connecticut, United States; Huaiqi Jing, Chinese Center for Disease Control and Prevention, China; Meiying Yan, National Institute for Communicable Disease Control and Prevention, China</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Dongsheng Han <email>hands1103&#x00040;163.com</email></p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work.</p></fn></author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>05</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>7</volume>
<elocation-id>188</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>03</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>05</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Han, Yu, Tang, Ren, Wu, Zhang and Han.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Han, Yu, Tang, Ren, Wu, Zhang and Han</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>In China, <italic>V. parahaemolyticus</italic> has been a leading cause of foodborne outbreaks and bacterial infectious diarrhea since the 1990s, and most infections have been associated with the pandemic <italic>V. parahaemolyticus</italic> O3:K6 and its serovariants. However, a comprehensive overview of the sero-prevalence and genetic diversity of the pandemic <italic>V. parahaemolyticus</italic> clone in China is lacking. To compensate for this deficiency, pandemic isolates in both clinical and environmental Chinese samples collected from multiple studies were analyzed in this study. Surprisingly, as many as 27 clinical pandemic serovariants were identified and were widely distributed across nine coastal provinces and two inland provinces (Beijing and Sichuan). O3:K6, O4:K68, and O1:KUT represented the predominant clinical serovars. Only four environmental pandemic serovariants had previously been reported, and they were spread throughout Shanghai (O1:KUT, O3:K6), Jiangsu (O3:K6, O4:K48), Zhejiang (O3:K6), and Guangdong (O4:K9). Notably, 24 pandemic serovariants were detected within a short time frame (from 2006 to 2012). The pandemic isolates were divided into 15 sequence types (STs), 10 of which fell within clonal complex (CC) 3. Only three STs (ST3, ST192, and ST305) were identified in environmental isolates. Substantial serotypic diversity was mainly observed among isolates within pandemic ST3, which comprised 21 combinations of O/K antigens. The pandemic O3:K6 serotype showed a high level of sequence diversity, which was shared by eight different STs (ST3, ST227, ST431, ST435, ST487, ST489, ST526, and ST672). Antimicrobial susceptibility testing revealed that most isolates shared similar antibiotic susceptibility profiles. They were resistant to ampicillin but sensitive to most other drugs that were tested. In conclusion, the high levels of serotypic and genetic diversity of the pandemic clone suggest that the involved regions are becoming important reservoirs for the emergence of novel pandemic strains. We underscore the need for routine monitoring to prevent pandemic <italic>V. parahaemolyticus</italic> infection, which includes monitoring antimicrobial responses to avoid excessive misuse of antibiotics. Further investigations are also needed to delineate the specific mechanisms underlying the possible seroconversion of pandemic isolates.</p></abstract>
<kwd-group>
<kwd><italic>Vibrio parahaemolyticus</italic></kwd>
<kwd>multilocus sequence typing</kwd>
<kwd>pandemic clone</kwd>
<kwd>gastroenteritis</kwd>
<kwd>genetic diversity</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="11"/>
<word-count count="6331"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p><italic>Vibrio parahaemolyticus</italic>, a Gram-negative bacterium, is a natural inhabitant of estuarine and coastal environments. In humans, this pathogen is a globally important cause of acute gastroenteritis. It&#x00027;s a multi-serotype pathogenic bacteria, and can be classified into 13 O serotypes and 71 K serotypes based on somatic (O) antigens and capsular (K) antigens (Han et al., <xref ref-type="bibr" rid="B20">2008</xref>). Since 1997, the pandemic isolates, including serotype O3:K6 and its serovariants, have spread globally by either sporadic diarrhea or contaminated food-related outbreaks (Nair et al., <xref ref-type="bibr" rid="B31">2007</xref>; Chowdhury et al., <xref ref-type="bibr" rid="B8">2013</xref>).</p>
<p>All the pandemic isolates share the following specific genetic markers: the presence of the thermostable direct hemolysin(<italic>tdh</italic>) gene, the absence of the TDH-related hemolysin(<italic>trh</italic>) gene, and a distinctive <italic>toxRS</italic> sequence (<italic>toxRS/new</italic>), which can be amplified by a group-specific PCR (GS-PCR) (Matsumoto et al., <xref ref-type="bibr" rid="B30">2000</xref>). Until 2007, 22 serotypes had been traced to the pandemic clone based on these characteristics (Nair et al., <xref ref-type="bibr" rid="B31">2007</xref>). In recent years, an increasing number of pandemic serotypes have been reported to be widely distributed in countries across four continents (Asia, Europe, the Americas and Africa) (Ansaruzzaman et al., <xref ref-type="bibr" rid="B1">2008</xref>; Ottaviani et al., <xref ref-type="bibr" rid="B34">2010</xref>; Powell et al., <xref ref-type="bibr" rid="B36">2013</xref>; Li et al., <xref ref-type="bibr" rid="B27">2014</xref>; Velazquez-Roman et al., <xref ref-type="bibr" rid="B38">2014</xref>; Guerrero et al., <xref ref-type="bibr" rid="B17">2017</xref>), suggesting that these pandemic serotypes pose a mounting public health threat. This threat calls for higher surveillance of the pandemic clone to reduce illnesses.</p>
<p>In China, <italic>V. parahaemolyticus</italic> has been the leading cause of foodborne outbreaks and bacterial infectious diarrhea since the 1990s, especially in coastal regions (Gao et al., <xref ref-type="bibr" rid="B14">2016</xref>; Li et al., <xref ref-type="bibr" rid="B26">2016</xref>). The pandemic serotype O3:K6 was first documented as the dominant serotype in 2002 and was proven to be a pandemic clone in 2008 (Vongxay et al., <xref ref-type="bibr" rid="B39">2008</xref>). During the period of 2007&#x02013;2012, approximately 56% of the clinical isolates in southern coastal areas of China had pandemic characteristics (Li et al., <xref ref-type="bibr" rid="B27">2014</xref>). In one of our multi-center active surveillance programs, we found that 63.3% of the tested isolates were pandemic isolates in southeastern China from 2009 to 2013 (Chen et al., <xref ref-type="bibr" rid="B6">2016</xref>).</p>
<p>The above findings indicate that the pandemic clone of <italic>V. parahaemolyticus</italic> plays an important role in causing infectious diseases in China. However, although laboratory-based surveillance for acute infectious diarrhea has been established in several coastal regions (Yu et al., <xref ref-type="bibr" rid="B40">2011</xref>; Zhang et al., <xref ref-type="bibr" rid="B41">2014</xref>; Li et al., <xref ref-type="bibr" rid="B25">2015</xref>), a nationwide study or review of the distribution of infections caused by the pandemic isolates of <italic>V. parahaemolyticus</italic> has not been conducted in this country. Thus, a full understanding of the spread of this unique clone is needed to prevent outbreaks and sporadic illnesses in China.</p>
<p>In this study, we identified Chinese pandemic isolates of <italic>V. parahaemolyticus</italic> mostly from published literatures, and re-analyzed the sero-prevalence and genetic diversity of these pandemic isolates as a whole. We isolated some of these pandemic isolates in our active studies of diarrheal infection, and mainly focused on their antimicrobial responses in this study, which has not been shown previously. Overall, our intention is to generate a comprehensive overview of the spread of pandemic <italic>Vibrio parahaemolyticus</italic> O3:K6 and its serovariants in China since the emergence of this clone.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Datasets utilized in the present study</title>
<p>To identify as many available pandemic isolates of <italic>V. parahaemolyticus</italic> as possible, we conducted a comprehensive search of several databases, including the US National Library of Medicine, PubMed, Elsevier, Springer, and China National Knowledge Infrastructure. We searched for all relevant Chinese studies using combinations of the following terms (through October 1, 2016): &#x0201C;<italic>Vibrio parahaemolyticus</italic>,&#x0201D; &#x0201C;pandemic clone,&#x0201D; &#x0201C;pandemic strains,&#x0201D; &#x0201C;pandemic isolates,&#x0201D; &#x0201C;O3:K6 serotype,&#x0201D; and &#x0201C;O3:K6 clone.&#x0201D; Additional eligible studies were identified from references cited in the relevant articles. The full text of each potentially relevant paper was scrutinized, and a total of 290 representative clinical and environmental <italic>V. parahaemolyticus</italic> isolates (toxRS/<italic>new</italic>&#x0002B;, <italic>tdh</italic>&#x0002B; and <italic>trh</italic>&#x02212;) were extracted from 16 studies and selected as the research subjects of this investigation.</p>
<p>Among the 290 pandemic isolates, 120 are from our laboratory, including 98 ST3 isolates, 21 ST88 isolates, and one ST672 isolate. Most of the isolates include information about the sampling area, year of isolation, source, serotype and multilocus sequence typing. Details on the individual isolates are summarized in Additional file 1: Table <xref ref-type="supplementary-material" rid="SM1">S1</xref>.</p>
<p>We grouped these 290 pandemic isolates according to the integrity of background information (Figure <xref ref-type="fig" rid="F1">1</xref>), and then carried out the re-analysis of the spreading of pandemic <italic>V. parahaemolyticus</italic> O3:K6 and its serovariants.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>The grouping of the collected isolates and the main points of re-analysis in this study</bold>.</p></caption>
<graphic xlink:href="fcimb-07-00188-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Assignment to clonal complexes</title>
<p>Various typing methods have been used to distinguish <italic>V. parahaemolyticus</italic> isolates for epidemiological investigations (Marshall et al., <xref ref-type="bibr" rid="B29">1999</xref>; Gonzalez-Escalona et al., <xref ref-type="bibr" rid="B16">2008</xref>; L&#x000FC;deke et al., <xref ref-type="bibr" rid="B24">2015</xref>). The high accuracy and repeatability of current sequencing technology, the ability to compare DNA sequences universally and the ability to share data among laboratories make multi-locus sequence typing (MLST) a complete, robust, and reliable typing method. In recent years, scientists have begun using whole genome sequencing (WGS) to analyze historical collections of isolates, providing new insights for understanding population dynamics among different <italic>V. parahaemolyticus</italic> isolates. However, many laboratories are not currently using WGS, as data are not easily shared among laboratories. For this reason, we used MLST to assign clonal complexes for the pandemic isolates collected in this study.</p>
<p>The MLST scheme used internal fragments of the seven house-keeping genes [<italic>recA</italic><sub>(729<italic>bp</italic>)</sub>, <italic>dnaE</italic><sub>(557<italic>bp</italic>)</sub>, <italic>gyrB</italic><sub>(592<italic>bp</italic>)</sub>, <italic>dtdS</italic><sub>(458<italic>bp</italic>)</sub>, <italic>pntA</italic><sub>(430<italic>bp</italic>)</sub>, <italic>pyrC</italic><sub>(493<italic>bp</italic>)</sub>, and <italic>tnaA</italic><sub>(423<italic>bp</italic>)</sub>]. The standard amplification protocol was published on the <italic>V. parahaemolyticus</italic> MLST web site (<ext-link ext-link-type="uri" xlink:href="http://pubmlst.org/vparahaemolyticus/">http://pubmlst.org/vparahaemolyticus/</ext-link>). The allele designations and sequence types (STs) of all the selected isolates had been determined based on the variation of the seven genes. Based on the defined STs, all the pandemic isolates were compared using global optimal eBURST analysis (goeBURST) version 1.2.1 (<ext-link ext-link-type="uri" xlink:href="http://www.phyloviz.net/goeburst/">http://www.phyloviz.net/goeburst/</ext-link>). Clonal complexes were conservatively defined as a cluster of STs, in which all STs were linked as single-locus variants (SLVs, two STs differing from each other at a single locus) to at least one other ST (Feil et al., <xref ref-type="bibr" rid="B13">2004</xref>). The singleton STs corresponded to STs differing from the others by three or more of the seven loci (Esteves et al., <xref ref-type="bibr" rid="B12">2015</xref>).</p>
</sec>
<sec>
<title>Antimicrobial susceptibility testing</title>
<p>We selected the pandemic isolates [ST3 (<italic>n</italic> &#x0003D; 98) and ST88 (<italic>n</italic> &#x0003D; 21)] detected in our laboratory from the 290 isolates to be analyzed in this study and other 33 non-pandemic isolates identified in our laboratory to conduct antimicrobial susceptibility testing with 20 antimicrobial agents (Figure <xref ref-type="fig" rid="F1">1</xref>). The testing was performed using the disk diffusion method according to the Clinical and Laboratory Standards Institute (CLSI, <xref ref-type="bibr" rid="B4">2010</xref>). <italic>E. coli</italic> ATCC25922 and <italic>Staphylococcus aureus</italic> ATCC25923 were employed as bacterial strains for quality control. Characterization of the resistance and susceptibility profile of the isolates was determined by measuring inhibitory zone, and then compared with the interpretative chart (Table <xref ref-type="table" rid="T1">1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>The interpreted results of drug susceptibility testing</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left" colspan="2"><bold>Antimicrobial agent</bold></th>
<th valign="top" align="left"><bold>Drug content (&#x003BC;g)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Bacteriostatic circle diameter (mm)</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>Susceptible (S)</bold></th>
<th valign="top" align="center"><bold>Intermediate (I)</bold></th>
<th valign="top" align="center"><bold>Resistant (R)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Ampicillin</td>
<td valign="top" align="left">AMP</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x02265;17</td>
<td valign="top" align="center">14&#x02013;16</td>
<td valign="top" align="center">&#x02264;13</td>
</tr>
<tr>
<td valign="top" align="left">Amoxicillin-clavulanic acid</td>
<td valign="top" align="left">AMC</td>
<td valign="top" align="center">20/10</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">14&#x02013;17</td>
<td valign="top" align="center">&#x02264;13</td>
</tr>
<tr>
<td valign="top" align="left">Ampicillin-salbactam</td>
<td valign="top" align="left">SAM</td>
<td valign="top" align="center">10/10</td>
<td valign="top" align="center">&#x02265;15</td>
<td valign="top" align="center">12&#x02013;14</td>
<td valign="top" align="center">&#x02264;11</td>
</tr>
<tr>
<td valign="top" align="left">Piperacillin-tazobactam</td>
<td valign="top" align="left">TZP</td>
<td valign="top" align="center">100/10</td>
<td valign="top" align="center">&#x02265;21</td>
<td valign="top" align="center">18&#x02013;20</td>
<td valign="top" align="center">&#x02264;17</td>
</tr>
<tr>
<td valign="top" align="left">Piperacillin</td>
<td valign="top" align="left">PIP</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">&#x02265;21</td>
<td valign="top" align="center">18&#x02013;20</td>
<td valign="top" align="center">&#x02264;17</td>
</tr>
<tr>
<td valign="top" align="left">Cefazolin</td>
<td valign="top" align="left">CZO</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">15&#x02013;17</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Cefuroxime</td>
<td valign="top" align="left">CXM</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">15&#x02013;17</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Ceftazidime</td>
<td valign="top" align="left">CAZ</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">15&#x02013;17</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Cefotaxime</td>
<td valign="top" align="left">CTX</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;23</td>
<td valign="top" align="center">15&#x02013;22</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Cefepime</td>
<td valign="top" align="left">FEP</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">15&#x02013;17</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Cefotaxime</td>
<td valign="top" align="left">FOX</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">15&#x02013;17</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Imipenem</td>
<td valign="top" align="left">IPM</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x02265;16</td>
<td valign="top" align="center">14&#x02013;15</td>
<td valign="top" align="center">&#x02264;13</td>
</tr>
<tr>
<td valign="top" align="left">Meropenem</td>
<td valign="top" align="left">MEM</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x02265;16</td>
<td valign="top" align="center">14&#x02013;15</td>
<td valign="top" align="center">&#x02264;13</td>
</tr>
<tr>
<td valign="top" align="left">Amikacin</td>
<td valign="top" align="left">AMK</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;17</td>
<td valign="top" align="center">15&#x02013;16</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Gentamycin</td>
<td valign="top" align="left">GEN</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x02265;15</td>
<td valign="top" align="center">13&#x02013;14</td>
<td valign="top" align="center">&#x02264;12</td>
</tr>
<tr>
<td valign="top" align="left">Cefotaxime</td>
<td valign="top" align="left">CIP</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x02265;21</td>
<td valign="top" align="center">16&#x02013;20</td>
<td valign="top" align="center">&#x02264;15</td>
</tr>
<tr>
<td valign="top" align="left">Levofloxacin</td>
<td valign="top" align="left">LVX</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x02265;17</td>
<td valign="top" align="center">14&#x02013;16</td>
<td valign="top" align="center">&#x02264;13</td>
</tr>
<tr>
<td valign="top" align="left">Trimethoprim-Sulphamethoxazole</td>
<td valign="top" align="left">SXT</td>
<td valign="top" align="center">1.25/23.75</td>
<td valign="top" align="center">&#x02265;16</td>
<td valign="top" align="center">11&#x02013;15</td>
<td valign="top" align="center">&#x02264;10</td>
</tr>
<tr>
<td valign="top" align="left">Tetracycline</td>
<td valign="top" align="left">TCY</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;19</td>
<td valign="top" align="center">15&#x02013;18</td>
<td valign="top" align="center">&#x02264;14</td>
</tr>
<tr>
<td valign="top" align="left">Chloramphenicol</td>
<td valign="top" align="left">CHL</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">&#x02265;18</td>
<td valign="top" align="center">13&#x02013;17</td>
<td valign="top" align="center">&#x02264;12</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Sero-prevalence of pandemic <italic>V. parahaemolyticus</italic></title>
<p>A comprehensive map of the dissemination of the pandemic serotypes detected in China was generated according to a detailed review (Figure <xref ref-type="fig" rid="F1">1</xref>). The pandemic serotypes were highly abundant and variable, with 27 clinical and four environmental pandemic serotypes identified in nine coastal provinces and two inland provinces (Beijing and Sichuan) (Figure <xref ref-type="fig" rid="F2">2</xref>). The most widely disseminated serotype of clinical isolates was O3:K6 (in 11 provinces), followed by O4:K68 (in eight provinces), O1:KUT (in five provinces), O1:K25 (in four provinces), and O1:K36 (in four provinces). The four environmental serotypes were identified in Shanghai (O1:KUT, O3:K6), Jiangsu (O3:K6, O4:K48), Zhejiang (O3:K6), and Guangdong (O4:K9). In addition, the sources of the environmental O3:K6 isolates were diverse in Jiangsu province (Table <xref ref-type="table" rid="T2">2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>Map showing the sero-prevalence and sequence diversity of clinical and environmental pandemic O3:K6 and its serovariants of <italic>V. parahaemolyticus</italic> found in Chinese samples</bold>.</p></caption>
<graphic xlink:href="fcimb-07-00188-g0002.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Sero-prevalence of pandemic <italic>V. parahaemolyticus</italic> isolates from Chinese samples</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Serotypes (<italic>n</italic>&#x00023;)</bold></th>
<th valign="top" align="left"><bold>Region (<italic>n</italic>) (year of isolation)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#bdbec1"><bold>CLINICAL (27 SEROTYPES)</bold></td>
</tr>
<tr>
<td valign="top" align="left">O1:K25 (<italic>n</italic> &#x0003D; 14)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 6) (2006&#x02013;2012), Jiangsu (<italic>n</italic> &#x0003D; 3) (2007, 2014), Shanghai (<italic>n</italic> &#x0003D; 3) (2006&#x02013;2007, 2010&#x02013;2012), Taiwan (<italic>n</italic> &#x0003D; 2) (1998)</td>
</tr>
<tr>
<td valign="top" align="left">O1:K26 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 1) (2007)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 2) (2007&#x02013;2012), Jiangsu (<italic>n</italic> &#x0003D; 1) (2007), Shanghai (<italic>n</italic> &#x0003D; 2) (2009&#x02013;2012), Zhejiang (<italic>n</italic> &#x0003D; 22) (2009&#x02013;2012)</td>
</tr>
<tr>
<td valign="top" align="left">O1:K5 (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 1) (2007), Zhejiang (<italic>n</italic> &#x0003D; 1) (2009)</td>
</tr>
<tr>
<td valign="top" align="left">O1:K56 (<italic>n</italic> &#x0003D; 3)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 2) (2008), Shanghai (<italic>n</italic> &#x0003D; 1) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">O1:KUT (<italic>n</italic> &#x0003D; 18)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 2) (2007&#x02013;2012), Jiangsu (<italic>n</italic> &#x0003D; 4) (2005&#x02013;2008), Liaoning (<italic>n</italic> &#x0003D; 1) (2010), Shanghai (<italic>n</italic> &#x0003D; 4) (2006&#x02013;2007, 2009&#x02013;2012), Zhejiang (<italic>n</italic> &#x0003D; 7) (2003, 2010, 2012)</td>
</tr>
<tr>
<td valign="top" align="left">O1:K6 (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 2) (2007)</td>
</tr>
<tr>
<td valign="top" align="left">O1:K68 (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 1) (2006&#x02013;2011), Shanghai (<italic>n</italic> &#x0003D; 1) (2007)</td>
</tr>
<tr>
<td valign="top" align="left">O10:K60 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2010&#x02013;2012)</td>
</tr>
<tr>
<td valign="top" align="left">O11:K36 (<italic>n</italic> &#x0003D; 6)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 6) (2006&#x02013;2011)</td>
</tr>
<tr>
<td valign="top" align="left">O2:K68 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2007)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K25 (<italic>n</italic> &#x0003D; 3)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 2) (2007), Liaoning (<italic>n</italic> &#x0003D; 1) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K29 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 1) (2007)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K3 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2010&#x02013;2012)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K6 (<italic>n</italic> &#x0003D; 103)</td>
<td valign="top" align="left">Beijing (<italic>n</italic> &#x0003D; 2) (2010), Guangdong (<italic>n</italic> &#x0003D; 9) (2006&#x02013;2012), Guangxi (<italic>n</italic> &#x0003D; 4) (2003&#x02013;2005, 2007), Hebei (<italic>n</italic> &#x0003D; 1) (2007), Jiangsu (<italic>n</italic> &#x0003D; 9) (2006&#x02013;2009, 2014), Liaoning (<italic>n</italic> &#x0003D; 5) (2005, 2010), Shandong (<italic>n</italic> &#x0003D; 1) (2007), Shanghai (<italic>n</italic> &#x0003D; 12) (2006&#x02013;2007, 2009&#x02013;2012), Sichuan (<italic>n</italic> &#x0003D; 2) (2009), Zhejiang (<italic>n</italic> &#x0003D; 54) (2002&#x02013;2003, 2006, 2009&#x02013;2012), Taiwan (<italic>n</italic> &#x0003D; 4) (1996, 1998&#x02013;1999, 2006)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K68 (<italic>n</italic> &#x0003D; 5)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 2) (2006), Shanghai (<italic>n</italic> &#x0003D; 1) (2006), Zhejiang (<italic>n</italic> &#x0003D; 2) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K8 (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2009&#x02013;2011), Zhejiang (<italic>n</italic> &#x0003D; 1) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">O3:KUT (<italic>n</italic> &#x0003D; 9)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 1) (2007&#x02013;2012), Jiangsu (<italic>n</italic> &#x0003D; 1) (2009), Shanghai (<italic>n</italic> &#x0003D; 7) (2009&#x02013;2012)</td>
</tr>
<tr>
<td valign="top" align="left">O4:K1 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Zhejiang (<italic>n</italic> &#x0003D; 1) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">O4:K48 (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 1) (2005&#x02013;2008), Zhejiang (<italic>n</italic> &#x0003D; 1) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">O4:K68 (<italic>n</italic> &#x0003D; 68)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 7) (2007&#x02013;2012), Jiangsu (<italic>n</italic> &#x0003D; 1) (2008), Liaoning (<italic>n</italic> &#x0003D; 1) (2010), Shanghai (<italic>n</italic> &#x0003D; 11) (2006&#x02013;2007, 2010&#x02013;2012), Zhejiang (<italic>n</italic> &#x0003D; 12) (2010&#x02013;2012), Taiwan (<italic>n</italic> &#x0003D; 1) (1999)</td>
</tr>
<tr>
<td valign="top" align="left">O4:K8 (<italic>n</italic> &#x0003D; 23)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 1) (2007&#x02013;2011), Shanghai (<italic>n</italic> &#x0003D; 1) (2006), Zhejiang (<italic>n</italic> &#x0003D; 21) (2006, 2009&#x02013;2010, 2012)</td>
</tr>
<tr>
<td valign="top" align="left">O4:KUT (<italic>n</italic> &#x0003D; 4)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2007), Zhejiang (<italic>n</italic> &#x0003D; 3) (2006, 2010)</td>
</tr>
<tr>
<td valign="top" align="left">O5:K68 (<italic>n</italic> &#x0003D; 2)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 2) (2007&#x02013;2012)</td>
</tr>
<tr>
<td valign="top" align="left">O5:KUT (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2010&#x02013;2012)</td>
</tr>
<tr>
<td valign="top" align="left">OUT:K22 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Zhejiang (<italic>n</italic> &#x0003D; 1) (2010)</td>
</tr>
<tr>
<td valign="top" align="left">OUT:KUT (<italic>n</italic> &#x0003D; 8)</td>
<td valign="top" align="left">Zhejiang (<italic>n</italic> &#x0003D; 8) (2010, 2012)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#bdbec1"><bold>ENVIRONMENTAL (4 SEROTYPES)</bold></td>
</tr>
<tr>
<td valign="top" align="left">O1:KUT (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2006-Ribbon fish)</td>
</tr>
<tr>
<td valign="top" align="left">O3:K6 (<italic>n</italic> &#x0003D; 11)</td>
<td valign="top" align="left">Shanghai (<italic>n</italic> &#x0003D; 1) (2011, Environmental isolates), Jiangsu (<italic>n</italic> &#x0003D; 9) (2005&#x02013;2008, foodborne isolates-Bombay duck, Clam. Crab, Metapenaeus ensis, Qingchuan fish, Ribbon fish, Salmon, Seajelly, Thamnaconus septentrionalis), Zhejiang (<italic>n</italic> &#x0003D; 1) (2007, Ribbon fish)</td>
</tr>
<tr>
<td valign="top" align="left">O4:K48 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Jiangsu (<italic>n</italic> &#x0003D; 1) (2005&#x02013;2008, foodborne isolates-Metapenaeus ensis)</td>
</tr>
<tr>
<td valign="top" align="left">O4:K9 (<italic>n</italic> &#x0003D; 1)</td>
<td valign="top" align="left">Guangdong (<italic>n</italic> &#x0003D; 1) (2006, Food isolates)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>n&#x00023;, number of collected isolates</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>When sorting the isolates by the year of isolation, we found that only the O3:K6, O1:K25, O4:K68, and O1:KUT4 serotypes had been reported prior to 2005. However, from 2006 to 2012, as many as 24 more pandemic serotypes were detected (Table <xref ref-type="table" rid="T3">3</xref>). This may be a significant period for the spreading of pandemic serotypes in China, but underreporting and possible study deviation should also be considered. As these factors directly affect the accuracy of our conjecture. O3:K6, first discovered in 1996, was detected each year from 2002 to 2012.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p><bold>Chronology of appearance of pandemic <italic>V. parahaemolyticus</italic> serotypes</bold>.</p></caption>
<graphic xlink:href="fcimb-07-00188-i0001.tif"/>
<table-wrap-foot>
<p><italic>Yellow marker indicates the year in which pandemic serotype was detected, the number in the yellow marker represent number of isolates; The green marker indicates that it&#x00027;s uncertain whether or not a pandemic serotype was detected in the corresponding year, in the original literature, the author only gave a time range; <sup>&#x0002A;</sup>The number in the brackets means the serotypes that we cannot know whether or not they were identified in the corresponding years</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Genetic differentiation of the pandemic isolates</title>
<p>Among the 290 collected pandemic isolates, 28 isolates was not typed by MLST analysis in their original studies, the other 262 isolates were involved the MLST analysis in the current study (Figure <xref ref-type="fig" rid="F1">1</xref>). These pandemic isolates exhibited 15 STs, revealing high genetic diversity (Table <xref ref-type="table" rid="T4">4</xref>). The sequence variation of the isolates in Guangdong (11 STs) was significantly higher than that in other provinces (Figure <xref ref-type="fig" rid="F1">1</xref>). ST3 was the only sequence type that caused a wide range of infections in as many as ten provinces. Only three sequence types (ST3, ST192, and ST305) had ever been identified in environmental isolates.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p><bold>Sequence types, allele profiles, and serotypes of pandemic <italic>V. paraheamolyticus</italic> isolates</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="center" colspan="8" style="border-bottom: thin solid #000000;"><bold>MLST assay</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Serotypes</bold></th>
</tr>
<tr>
<th valign="top" align="center"><bold>ST (<italic>n</italic><sup>&#x00023;</sup>)</bold></th>
<th valign="top" align="center"><bold><italic>dnaE</italic></bold></th>
<th valign="top" align="center"><bold><italic>dtdS</italic></bold></th>
<th valign="top" align="center"><bold><italic>gyrB</italic></bold></th>
<th valign="top" align="center"><bold><italic>pntA</italic></bold></th>
<th valign="top" align="center"><bold><italic>pyrC</italic></bold></th>
<th valign="top" align="center"><bold><italic>recA</italic></bold></th>
<th valign="top" align="center"><bold><italic>tnaA</italic></bold></th>
<th valign="top" align="center" style="border-right:dashed thin black"><bold>Clinical (<italic>n</italic>)</bold></th>
<th valign="top" align="left"><bold>Environmental (<italic>n</italic>)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center" style="background-color:#efefe4">ST3 (221)</td>
<td valign="top" align="center" style="background-color:#efefe4">3</td>
<td valign="top" align="center" style="background-color:#efefe4">4</td>
<td valign="top" align="center" style="background-color:#efefe4">4</td>
<td valign="top" align="center" style="background-color:#efefe4">29</td>
<td valign="top" align="center" style="background-color:#efefe4">4</td>
<td valign="top" align="center" style="background-color:#efefe4">19</td>
<td valign="top" align="center" style="background-color:#efefe4">22</td>
<td valign="top" align="left" style="background-color:#efefe4; border-right:dashed thin black">O1:K25 (10), O1:K36 (24), O1:K56 (2), O1:K6 (2), O1:K68 (2), O1:Kut (15), O11:K36 (5), O2:K68 (1), O3:K25 (3), O3:K6 (86), O3:K68 (5), O3:Kut (7), O3:K8 (1), O4:K1 (1), O4:K48 (2), O4:K68 (29), O4:K8 (3), O5:K68 (2), O4:K48, Out: Kut (8), Out: K22 (1)</td>
<td valign="top" align="left" style="background-color:#efefe4">O3:K6 (11), O4:K48 (1)</td>
</tr>
<tr>
<td valign="top" align="center">ST192 (3)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">126</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O1:K26 (1), O1:Kut (1)</td>
<td valign="top" align="left">O4:K9 (1)</td>
</tr>
<tr>
<td valign="top" align="center">ST227 (1)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center" style="background-color:#bcbcbd">22</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST305 (3)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center" style="background-color:#bcbcbd">147</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">93</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O1:K25 (2)</td>
<td valign="top" align="left">O1:Kut (1)</td>
</tr>
<tr>
<td valign="top" align="center">ST431 (2)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">225</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (2)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST435 (2)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">31</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (2)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST487 (1)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">48</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST489 (1)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center" style="background-color:#bcbcbd">197</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST492 (1)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">189</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O1:K36 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST496 (1)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center" style="background-color:#bcbcbd">142</td>
<td valign="top" align="left" style="border-right:dashed thin black">O11:K36 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST526 (1)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">108</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST672 (1)</td>
<td valign="top" align="center" style="background-color:#bcbcbd">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center" style="background-color:#bcbcbd">147</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O3:K6 (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST787 (2)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center" style="background-color:#bcbcbd">48</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left" style="border-right:dashed thin black">O4:K68 (2)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST302 (1)</td>
<td valign="top" align="center" style="background-color:#bcbcbd">27</td>
<td valign="top" align="center" style="background-color:#bcbcbd">106</td>
<td valign="top" align="center" style="background-color:#bcbcbd">127</td>
<td valign="top" align="center" style="background-color:#bcbcbd">152</td>
<td valign="top" align="center" style="background-color:#bcbcbd">54</td>
<td valign="top" align="center" style="background-color:#bcbcbd">124</td>
<td valign="top" align="center" style="background-color:#bcbcbd">101</td>
<td valign="top" align="left" style="border-right:dashed thin black">O4:Kut (1)</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="center">ST88 (21)</td>
<td valign="top" align="center" style="background-color:#bcbcbd">11</td>
<td valign="top" align="center" style="background-color:#bcbcbd">48</td>
<td valign="top" align="center" style="background-color:#bcbcbd">48</td>
<td valign="top" align="center" style="background-color:#bcbcbd">26</td>
<td valign="top" align="center" style="background-color:#bcbcbd">48</td>
<td valign="top" align="center" style="background-color:#bcbcbd">43</td>
<td valign="top" align="center" style="background-color:#bcbcbd">26</td>
<td valign="top" align="left" style="border-right:dashed thin black">O4:K8 (21)</td>
<td valign="top" align="left">&#x02212;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>n<sup>&#x00023;</sup>, the number of isolates</italic>.</p>
<p><italic>Compared with ST3, the changed allele types in other STs were marked by shadow. The number of alleles in each gene ranged from eight (gyrB) to three (dnaE, dtdS, pntA, and tnaA)</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Ten of the 15 pandemic STs could be classified in CC3 (Figure <xref ref-type="fig" rid="F3">3</xref>). ST305 and ST672 were DLVs of ST3. Pandemic ST88 was found only in Zhejiang province during 2010&#x02013;2012 and it belongs to CC345, not CC3. ST302 originated from in the Shanghai province and was identified as a singleton with no relationship to other STs.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p><bold>goeBURST full MST of the STs shows the clonal diversity of Chinese clinical and environmental pandemic <italic>V. parahaemolyticus</italic> isolates: clinical (red) and environmental (blue)</bold>. The pandemic STs in China are denoted by pink dotted circles. Other STs were selected from the public MLST database (<ext-link ext-link-type="uri" xlink:href="https://pubmlst.org/vparahaemolyticus/">https://pubmlst.org/vparahaemolyticus/</ext-link>) to help us analyze the cluster relationship of pandemic STs in this study. The number of different alleles is presented between STs connected via a line. The circle size varies according to the frequency of STs. Each shaded area represents a unique clone complex.</p></caption>
<graphic xlink:href="fcimb-07-00188-g0003.tif"/>
</fig>
</sec>
<sec>
<title>The association between pandemic STs and serotypes</title>
<p>The pandemic isolates within ST3 comprised 21 clinical and two environmental serotypes (O3:K6 and O4:K48), thus exhibiting high serotypic diversity (Table <xref ref-type="table" rid="T4">4</xref>). ST192 included isolates that belong to O1:K26 (clinical), and O1: KUT (clinical) and O4:K9 (environmental) serotypes. ST305 consisted of two serotypes, O1:K25 (clinical) and O4:Kut (environmental). The remaining STs consisted of a single serotype. From another perspective, the pandemic O3:K6 serotype was shared by eight different STs (ST3, ST227, ST431, ST435, ST487, ST489, ST526, and ST672). O1:Kut isolates were divided into three STs (ST3, ST192, and ST305). Other serotypes were clustered in no more than two different pandemic STs.</p>
</sec>
<sec>
<title>Antibiotic susceptibility profile of different pandemic isolates</title>
<p>The results of antimicrobial susceptibilities of the 98 pandemic ST3 isolates, 21 pandemic ST88 isolates and 33 non-pandemic isolates are shown in Table <xref ref-type="supplementary-material" rid="SM2">S2</xref>. The results indicate similar antimicrobial profiles between isolates within different STs. In other words, there were not obvious differences in their resistance spectrums (Figure <xref ref-type="fig" rid="F4">4</xref>). Specifically, the isolates were mostly resistant to ampicillin (AMP) (95.2% of ST88, 85.7% of ST3, and 84.9% of other STs), and showed intermediate resistance to cefazolin (CZO), Amikacin (AMK), and Cefuroxime (CXM). It is reassuring that the isolates were susceptible to the majority of antibiotic tested, and all of them were susceptible to levofloxacin (LVX), meropenem (MEM), imipenem (IPM), cefepime (FEP), ceftazidime (CAZ), and tetracyclines (TCY). Additionally, there was no multidrug resistant bacteria (MDR) found.</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p><bold>The antimicrobial profiles within different STs (pandemic: ST3 and ST88, non-pandemic: other STs)</bold>.</p></caption>
<graphic xlink:href="fcimb-07-00188-g0004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>As an emerging public health concern, pandemic <italic>V. parahaemolyticus</italic> infection has attracted wide attention from scientists (Jun et al., <xref ref-type="bibr" rid="B23">2014</xref>; Velazquez-Roman et al., <xref ref-type="bibr" rid="B38">2014</xref>; de Jes&#x000FA;s Hern&#x000E1;ndez-D&#x000ED;az et al., <xref ref-type="bibr" rid="B10">2015</xref>). The present study has provided an overview of the prevalence of pandemic isolates of <italic>V. parahaemolyticus</italic> in both clinical and environmental samples collected from multiple Chinese studies. We demonstrated that these pandemic isolates showed high serotypic and genetic diversity. The O3:K6 pandemic isolates (persistent for 11 years from 2002 to 2012) spread across 11 provinces indicate that the pandemic clone has been endemically established in China. Continued monitoring of antibiotic resistance patterns in pandemic isolates is urgently needed to avoid the excessive misuse of antibiotics, although most of the isolates tested in this study only showed high resistance to ampicillin.</p>
<p>The serovariants of this pandemic clone were abundant and variable. From 1996 to 2007, up to 22 pandemic serovariants were identified around the world (Nair et al., <xref ref-type="bibr" rid="B31">2007</xref>), suggesting that the pandemic isolates could easily adapt new serotypes to survive in new environments. In this study, we found that 27 pandemic clinical serotypes and four environmental serotypes have been identified in the collected Chinese isolates. This is a significant number when compared to the number of serotypes found in other countries or regions (Nair et al., <xref ref-type="bibr" rid="B31">2007</xref>; Pazhani et al., <xref ref-type="bibr" rid="B35">2014</xref>; Velazquez-Roman et al., <xref ref-type="bibr" rid="B38">2014</xref>), although the regional persistence of O3:K6 pandemic isolates has also been discovered in many other countries, such as Peru (Gil et al., <xref ref-type="bibr" rid="B15">2007</xref>), Chile (Ansede-Bermejo et al., <xref ref-type="bibr" rid="B2">2010</xref>), Japan (Okuda et al., <xref ref-type="bibr" rid="B32">1997</xref>), India (Pazhani et al., <xref ref-type="bibr" rid="B35">2014</xref>), and Thailand (Mala et al., <xref ref-type="bibr" rid="B28">2016</xref>). To the best of our knowledge, no study has explained why serotypes of the pandemic clone are so diverse in China. Researchers around the world have made some progress in finding the cause of such serodiversity of the pandemic clone. Such research has determined that the O- and K-antigens are mostly mutated concurrently by horizontal gene transfer (HGT) (Okura et al., <xref ref-type="bibr" rid="B33">2008</xref>), and it is speculated that new serovariants have emerged from the pandemic O3:K6 strains via replacement of the putative O and K antigen gene clusters (Okura et al., <xref ref-type="bibr" rid="B33">2008</xref>; Harth et al., <xref ref-type="bibr" rid="B21">2009</xref>; Chen et al., <xref ref-type="bibr" rid="B7">2010</xref>). This is important for the survival of the pandemic clone in the face of changing external environments and host immunological resistance.</p>
<p>The analyzed isolates in this study were distributed in regions where the differences of temperature and other environmental factors are vast. Therefore, we suspect that the strains must adapt to different living environments in the transmission process by altering their biological properties more frequently. Making serological changes may be one of the most efficient ways for this to be accomplished. However, the specific mechanism of serotype conversion is not yet known. The highest priority is currently to continuously monitor the emergence of new serovariants to prevent the pandemic strains from causing outbreaks along the coastline and spreading to other countries and regions.</p>
<p>MLST is known to provide greater resolution than stereotyping. In a previous study, we provided an extensive review of isolates found in Chinese patients, and the results indicated a high degree of genetic diversity and a complicated population structure of <italic>V. parahaemolyticus</italic> (Han et al., <xref ref-type="bibr" rid="B19">2015</xref>). With the present MLST study, we intended to demonstrate genetic similarities or differences among the pandemic isolates identified from different sources. As expected, we found that most of the pandemic STs were classified into the same clonal complex (CC3). However, some molecular divergence was also found. All the pandemic ST88 in Zhejiang province were assigned to CC345 (not CC3), and ST302, which originated in Shanghai province, was identified as a singleton with no relationship to other pandemic STs. Singletons do not seem to belong to the same clone as other pandemic isolates, but they do share the pandemic traits (toxRS/<italic>new</italic>&#x0002B;, <italic>tdh</italic>&#x0002B;, and <italic>trh</italic>&#x02212;).</p>
<p>Chen et al. demonstrated the isolates of pandemic ST302 were clustered with other pandemic isolates based on other molecular typing methods, such as enterobacterial repetitive intergenic consensus sequence PCR (ERIC-PCR) (Chen et al., <xref ref-type="bibr" rid="B5">2012</xref>). Similarly, in our pulsed field gel electrophoresis (PFGE) analysis (data not shown), the pandemic isolates of ST88 and ST3 shared the same PFGE profile. Thus, we observed that current typing and clustering methods may lead to controversial results, making it difficult to draw conclusions.</p>
<p>Therefore, a combined application of several molecular typing techniques should be considered in epidemiological investigations of <italic>V. parahaemolyticus</italic> pandemic isolates. As explained before (in Materials and Methods section), WGS is the best way to accurately portray the evolution and population structure of <italic>V. parahaemolyticus</italic> isolates at the molecular level (Cui et al., <xref ref-type="bibr" rid="B9">2015</xref>; Haendiges et al., <xref ref-type="bibr" rid="B18">2015</xref>), but the high cost limits its popularity in the analysis of large quantities of specimens.</p>
<p>Another important aspect of this study was the investigation of the antimicrobial susceptibility of different pandemic isolates. Our results revealed similar antibiotic susceptibility profiles in pandemic ST3, ST88, and non-pandemic isolates. This finding was similar to that in the work of Elmahdi et al. (<xref ref-type="bibr" rid="B11">2016</xref>). They concluded that the sampling location or month in which the samples were collected did not significantly impact <italic>V. parahaemolyticus</italic> resistance patterns because isolates from both environmental and clinical sources shared similar antibiotic resistance profiles. Unsurprisingly, the majority of the isolates tested in this study showed ampicillin resistance, which is very common in <italic>V. parahaemolyticus</italic> isolates recovered from different sources (Sun et al., <xref ref-type="bibr" rid="B37">2013</xref>; de Jes&#x000FA;s Hern&#x000E1;ndez-D&#x000ED;az et al., <xref ref-type="bibr" rid="B10">2015</xref>; Elmahdi et al., <xref ref-type="bibr" rid="B11">2016</xref>; Mala et al., <xref ref-type="bibr" rid="B28">2016</xref>). This result suggests that ampicillin should have a negligible role in the treatment of <italic>V. parahaemolyticus</italic> infection. In fact, a survey conducted in the United States showed that very high <italic>V. parahaemolyticus</italic> ampicillin resistance could be traced as far back as 1978 (Blake et al., <xref ref-type="bibr" rid="B3">1979</xref>).</p>
<p>In contrast, most of the isolates tested were sensitive to the majority of antibiotics tested, and all isolates were susceptible to LVX, MEM, IPM, FEP, and CAZ. This result suggests that these drugs can be used as an alternative antibiotic therapy. It must be noted that recently isolated <italic>V. parahaemolyticus</italic> strains, including pandemic strains, have displayed resistance to multiple antibiotics (Jun et al., <xref ref-type="bibr" rid="B22">2012</xref>, <xref ref-type="bibr" rid="B23">2014</xref>), which increases concerns about possible antibiotic treatment failure. Although we did not discover any multidrug resistant bacteria (MDR) isolates in this study, continued monitoring of pandemic strain susceptibility to antibiotic resistance is urgently needed to avoid the excessive misuse of antibiotics used to treat infections that pose threats to public health.</p>
<p>Our findings represent a comprehensive review of the pandemic <italic>V. parahaemolyticus</italic> O3:K6 and its serovariants by thoroughly assessing an extensive collection of clinical and environmental pandemic isolates from multiple Chinese studies. High levels of serotypic and genetic diversity in the pandemic clone are found, which suggests that the involved regions are becoming important reservoirs for the emergence of novel pandemic strains, which makes the clinical management of the infection and its prevention potentially challenging. Thus, we underscore the need for routine clinical and environmental monitoring to prevent pandemic <italic>V. parahaemolyticus</italic> infection and dissemination, including monitoring of antimicrobial response even though most current antimicrobial agents in routine use are effective. The mechanism in which the isolates undergo seroconversion with pandemic genetic marks warrants extended investigation.</p>
</sec>
<sec id="s5">
<title>Author contributions</title>
<p>Conceived and designed the experiments: DH and CH. Performed the experiments: DH, FY, and HT. Analyzed the data: DH, CW, and PZ. Contributed reagents/materials/analysis tools: DH and CR. Wrote the paper: DH.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</sec>
</body>
<back>
<ack><p>This study was jointly supported by grant No. 81400899 from the National Natural Science Foundation of China, grant No. yz2016127 from the Science and Technology Foundation Program of Yangzhou city, and two research projects (No. yzucms201603 and No. yzucms201608) of Northern Jiangsu People&#x00027;s Hospital, Yangzhou, China.</p>
</ack>
<sec sec-type="supplementary-material" id="s6">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="http://journal.frontiersin.org/article/10.3389/fcimb.2017.00188/full#supplementary-material">http://journal.frontiersin.org/article/10.3389/fcimb.2017.00188/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table2.XLSX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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